Predictive maintenance is an advanced maintenance strategy that aims to predict when equipment failure is likely to occur so that maintenance can be performed just in time to prevent the failure. It leverages data, analytics, and technology to monitor the condition of equipment in real-time and identify patterns or anomalies that may indicate impending issues. Condition Monitoring: Predictive maintenance relies on continuous monitoring of equipment condition using sensors, meters, and other monitoring devices. These sensors collect data on various parameters such as temperature, vibration, pressure, and fluid levels. Data Analysis: The collected data is analyzed using advanced analytics techniques, such as machine learning algorithms, to identify patterns, trends, and anomalies. By analyzing historical data and comparing it with real-time data, predictive maintenance systems can detect deviations from normal operating conditions.
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